Urology

Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease.

Diabetic kidney disease (DKD) involves complex inflammatory and microvascular injury, but cell-specific molecular signatures linked to neutrophil extracellular traps (NETs) remain unclear. We aimed to identify NET-associated biomarkers of glomerular injury in DKD. Bulk glomerular transcriptomic datasets were analyzed using differential expression, weighted gene co-expression network analysis, and ...

Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation.

BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comparable ascites severity. METHODS: This multicenter retrospective cohort study included adult liver transplant candidates with ascites at four United States centers (2015-2024). Latent class analysis was performed using seven clinical variables: ascit...

Deep learning-based histologic classifiers enable molecular subtyping of metastatic prostate cancer.

Metastatic prostate cancer is a clinically and molecularly heterogeneous disease. Under the selective pressure of androgen receptor (AR)-directed ther...

Urinary Peptide Signatures Distinguish Overactive Bladder and are Associated with Improvement in Incontinence Following Therapy.

OBJECTIVE: To characterize urinary peptide signatures in patients with and without overactive bladder (OAB), identify peptide differences by OAB pheno...

Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation.

BACKGROUND: This study aims to develop and validate predictive models to assess mortality risk among patients undergoing intra-aortic balloon pump (IA...

Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. P...

Accuracy, Completeness, and Clarity of an AI-Based Chatbot for the EAU Neuro-Urology Guidelines.

This study aimed to externally validate the performance of the European Association of Urology (EAU) Guidelines Bot in neuro-urology by assessing the ...

A study on risk factors for the progression from T2DM to end-stage renal disease based on Mendelian randomization and logistic regression analysis.

Using two-sample Mendelian randomization (MR) based on GWAS data from the IEU OpenGWAS project and a retrospective clinical cohort, this study investi...

A polyline searching-driven evolutionary AI for disease detection of medical imaging data.

Objective Accurate Ultrasound (US) prostate cancer (PCa) segmentation images hold significant value for organ interventional guidance and clinical...

Urinary Biomarkers for Cancer Diagnosis and Surveillance: From Analytical Promise to Clinical Utility.

Urine is an attractive source of cancer biomarkers because it can be collected non-invasively and repeatedly, yet high diagnostic accuracy in early st...

Online adaptive radiotherapy in pelvic and thoracic cancers - comparing toxicities, clinical outcomes and technical parameters between conventional image-guided radiotherapy and online adaptive radiotherapy - the study protocol for the prospective, registry-based cohort study (PRoART).

BACKGROUND: Conventional image-guided radiotherapy (IGRT) typically relies on a computed tomography (CT)-based treatment planning process (planning CT...

GERBEHRT: a BERT-based model tailored for German electronic health records - potential in chronic kidney disease prediction.

BACKGROUND: Chronic kidney disease (CKD) is a critical, progressive condition associated with high mortality and substantial healthcare costs. Early d...

Machine learning-based prediction of unplanned readmission and construction of an online calculator for elderly patients with mild ischemic stroke.

OBJECTIVE: To screen for independent risk factors for unplanned readmission in elderly patients with mild ischemic stroke, and to construct and valida...

Artificial intelligence empowers full-stack histopathological diagnosis and prognosis of renal cell tumor: a multi-center study with external validation.

BACKGROUND: The rapid advancement of digital pathology has opened unprecedented opportunities for intelligent diagnosis in renal cell tumor. However, ...

Integrative Genomic Analysis Reveals Molecular and Clinical Disparities between Bladder and Upper Tract Urothelial Carcinoma in K-MASTER Program.

PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...

Deep learning-based prostate cancer diagnosis on MRI with hip prostheses: artifact and sequence effects.

OBJECTIVE: To evaluate the impact of hip prosthesis-induced artifacts on the diagnostic performance of deep learning (DL)-based prostate cancer diagno...

Present status of prostate cancer diagnosis, limitations, challenges, and future endeavors.

Methods: In addition to traditional testing methods, the use of PSMA-directed imaging to guide biopsy procedures using Multiparametric Magnetic Resona...

A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.

OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 diabetes mellitus (T2DM) using routinely available...

Kidney-specific deletion of the BicC family RNA-binding protein 1 triggers an ADPKD-like cystogenic program.

Autosomal dominant polycystic kidney disease (ADPKD) arises from mutations in polycystin-1/PKD1 or polycystin-2/PKD2 that induce injury-repair pathway...

UCtracker: A Deep Learning-Based DNA Methylation Model for Noninvasive Diagnosis and Recurrence Surveillance of Urothelial Carcinoma in a Prospective Study.

Noninvasive diagnosis and longitudinal surveillance of urothelial carcinoma (UC) remain clinically challenging. Here, we developed and prospectively v...